User | Remembered2U |
Upload Date | January 01 2025 12:49 PM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core Ultra 9 185H |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VGG |
Motherboard | Micro-Star International Co., Ltd. MS-15F4 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core Ultra 9 185H |
Topology | 1 Processor, 16 Cores, 22 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 2.50 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2783
517.6 IPS |
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
Image Classification (Q)
|
99% |
5575
1.04 KIPS |
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
Image Segmentation (HP)
|
100% |
936
15.2 IPS |
|
Image Segmentation (Q)
|
98% |
3479
56.6 IPS |
|
Pose Estimation (SP)
|
100% |
6238
7.28 IPS |
|
Pose Estimation (HP)
|
100% |
4179
4.88 IPS |
|
Pose Estimation (Q)
|
94% |
23660
27.7 IPS |
|
Object Detection (SP)
|
100% |
2640
209.4 IPS |
|
Object Detection (HP)
|
100% |
668
53.0 IPS |
|
Object Detection (Q)
|
86% |
5990
481.4 IPS |
|
Face Detection (SP)
|
100% |
6755
80.3 IPS |
|
Face Detection (HP)
|
100% |
1461
17.4 IPS |
|
Face Detection (Q)
|
97% |
8757
104.4 IPS |
|
Depth Estimation (SP)
|
100% |
7863
60.6 IPS |
|
Depth Estimation (HP)
|
99% |
2059
15.9 IPS |
|
Depth Estimation (Q)
|
78% |
13805
110.2 IPS |
|
Style Transfer (SP)
|
100% |
14640
18.8 IPS |
|
Style Transfer (HP)
|
100% |
10477
13.5 IPS |
|
Style Transfer (Q)
|
98% |
19203
24.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
2554
94.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
1910
70.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
4021
148.9 IPS |
|
Text Classification (SP)
|
100% |
1414
1.89 KIPS |
|
Text Classification (HP)
|
100% |
719
959.7 IPS |
|
Text Classification (Q)
|
97% |
1610
2.16 KIPS |
|
Machine Translation (SP)
|
100% |
1740
30.0 IPS |
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
Machine Translation (Q)
|
65% |
2835
57.0 IPS |